scholarly journals Trends and population-attributable risk estimates for predictors of early neonatal mortality in Nigeria, 2003–2013: a cross-sectional analysis

BMJ Open ◽  
2017 ◽  
Vol 7 (5) ◽  
pp. e013350 ◽  
Author(s):  
Osita Kingsley Ezeh
Keyword(s):  
Neonatal Mortality ◽  
Cox Regression ◽  
Population Attributable Risk ◽  
Attributable Risk ◽  
Demographic And Health Surveys ◽  
Community Based Interventions ◽  
Cross Sectional ◽  
Neonatal Deaths ◽  
Early Neonatal Mortality ◽  
Early Neonatal Deaths

ObjectivesTo assess trends in early neonatal mortality (ENM) and population-attributable risk (PAR) estimates for predictors of ENM in Nigeria.Design, setting and participantsA cross-sectional data on 63 844 singleton live births within the preceding 5 years from the 2003, 2008 and 2013 Nigeria Demographic and Health Surveys were used. Adjusted PARs were used to estimate the number of early neonatal deaths attributable to each predictor in the final multivariable Cox regression model.Main outcome measuresENM, defined as the death of a live-born singleton between birth and 6 days of life.ResultsThe ENM rate slightly declined from 30.5 (95% CI 26.1 to 34.9) to 26.1 (CI 24.3 to 27.9) during the study period. Approximately 36 746 (CI 14 656 to 56 920) and 37 752 (CI 23 433 to 51 126) early neonatal deaths were attributable to rural residence and male sex, respectively. Other significant predictors of ENM included small neonates (attributable number: 25 884, CI 19 172 to 31 953), maternal age <20 years (11 708, CI 8521 to 17 042), caesarean section (6312, CI 4260 to 8521) and birth order ≥4 with a short birth interval (≤2 years) (18 929, CI 12 781 to 25 563)).ConclusionsTo improve early neonatal survival in Nigeria, community-based interventions are needed for small neonates, and to promote delayed first pregnancy, child spacing and timely referral for sick male neonates and caesarean delivery.

scholarly journals Regional variations and socio-economic disparities in neonatal mortality in Angola: a cross-sectional study using demographic and health surveys

2020 ◽  
Vol 37 (6) ◽  
pp. 785-792
Author(s):  
Sanni Yaya ◽  
Betregiorgis Zegeye ◽  
Bright Opoku Ahinkorah ◽  
Olanrewaju Oladimeji ◽  
Gebretsadik Shibre
Keyword(s):  
Neonatal Mortality ◽  
Rural Areas ◽  
Formal Education ◽  
Statistical Significance ◽  
Population Attributable Risk ◽  
Population Attributable Fraction ◽  
World Health ◽  
Demographic And Health Surveys ◽  
Gender Inequalities ◽  
Cross Sectional

Abstract Background Inequalities in neonatal mortality rates (NMRs) in low- and middle-income countries show key disparities at the detriment of disadvantaged population subgroups. There is a lack of scholarly evidence on the extent and reasons for the inequalities in NMRs in Angola. Objective The aim of this study was to assess the socio-economic, place of residence, region and gender inequalities in the NMRs in Angola. Methods The World Health Organization Health Equity Assessment Toolkit software was used to analyse data from the 2015 Angola Demographic and Health Survey. Five equity stratifiers: subnational regions, education, wealth, residence and sex were used to disaggregate NMR inequality. Absolute and relative inequality measures, namely, difference, population attributable fraction (PAF), population attributable risk (PAR) and ratio, were calculated to provide a broader understanding of the inequalities in NMR. Statistical significance was calculated at corresponding 95% uncertainty intervals. Findings We found significant wealth-driven [PAR = −14.16, 95% corresponding interval (CI): −15.12, −13.19], education-related (PAF = −22.5%, 95% CI: −25.93, −19.23), urban–rural (PAF = −14.5%, 95% CI: −16.38, −12.74), sex-based (PAR = −5.6%, 95% CI: −6.17, −5.10) and subnational regional (PAF = −82.2%, 95% CI: −90.14, −74.41) disparities in NMRs, with higher burden among deprived population subgroups. Conclusions High NMRs were found among male neonates and those born to mothers with no formal education, poor mothers and those living in rural areas and the Benguela region. Interventions aimed at reducing NMRs, should be designed with specific focus on disadvantaged subpopulations.

scholarly journals A study of early neonatal mortality in a tertiary hospital of Maharashtra, India

2018 ◽  
Vol 5 (5) ◽  
pp. 1869
Author(s):  
Nitin Mehkarkar ◽  
Vijay Baburao Sonawane
Keyword(s):  
Neonatal Mortality ◽  
Neonatal Death ◽  
Birth Asphyxia ◽  
Tertiary Hospital ◽  
Premature Delivery ◽  
Early Neonatal Death ◽  
Neonatal Deaths ◽  
Live Births ◽  
Early Neonatal Mortality ◽  
Early Neonatal Deaths

Background: India has a high Neonatal Mortality Rate (NMR) of 31 per 1000 live births and rural being 34 whereas urban being 17 (2011). Two thirds of the newborn deaths usually occur in the first week of life. Newborn survival has become an important issue to improve the overall health care goals. This study is carried out to identify primary causes of early neonatal deaths and to ascertain the factors affecting early neonatal mortality.Methods: This is a prospective study of all the early neonatal deaths in tertiary hospital of Maharashtra over two years. Details of each early neonatal death were filled in the standard perinatal death proforma.Results: Out of the 2073 total births, there were 75 early neonatal deaths (END) which is nearly 36.18 per 1000 live births. The important causes of END were severe birth asphyxia, respiratory distress syndrome and septicemia. About 50% of deaths were observed in mothers with age < 20 years, 25% deaths observed in mothers of age group 20-29 years, and similar percentage is with age >30 years. Most of the early neonatal deaths were due to Birth asphyxia and RDS was the second most important cause of early neonatal deaths. 70% of ENDs were among LBW babies. Prevention of premature delivery, proper management of very low birth weight babies and early detection and appropriate management of perinatal hypoxia have become important interventional strategies in reducing early neonatal deaths.Conclusions: Early Neonatal Mortality (ENM) at Tertiary Hospital is fairly high. In present study, early neonatal death rate of 36.18 per 1000 live births is observed which significantly higher than reported in literature.

scholarly journals Geospatial analysis of determinants of neonatal mortality in Ghana

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Duah Dwomoh
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Neonatal Mortality ◽  
Neonatal Death ◽  
Reproductive Age ◽  
Multiple Births ◽  
Demographic And Health Surveys ◽  
Neonatal Deaths ◽  
The Impact

Abstract Background Ghana did not meet the Millennium Development Goal 4 of reducing child mortality by two-thirds and may not meet SDG (2030). There is a need to direct scarce resources to mitigate the impact of the most important risk factors influencing high neonatal deaths. This study applied both spatial and non-spatial regression models to explore the differential impact of environmental, maternal, and child associated risk factors on neonatal deaths in Ghana. Methods The study relied on data from the Ghana Demographic and Health Surveys (GDHS) and the Ghana Maternal Health Survey (GMHS) conducted between 1998 and 2017 among 49,908 women of reproductive age and 31,367 children under five (GDHS-1998 = 3298, GDHS-2003 = 3844, GDHS-2008 = 2992, GDHS-2014 = 5884, GMHS-2017 = 15,349). Spatial Autoregressive Models that account for spatial autocorrelation in the data at the cluster-level and non-spatial statistical models with appropriate sampling weight adjustment were used to study factors associated with neonatal deaths, and a p-value less than 0.05 was considered statistically significant. Results Population density, multiple births, smaller household sizes, high parity, and low birth weight significantly increased the risk of neonatal deaths over the years. Among mothers who had multiple births, the risk of having neonatal deaths was approximately four times as high as the risk of neonatal deaths among mothers who had only single birth [aRR = 3.42, 95% CI: 1.63–7.17, p < 0.05]. Neonates who were perceived by their mothers to be small were at a higher risk of neonatal death compared to very large neonates [aRR = 2.08, 95% CI: 1.19–3.63, p < 0.05]. A unit increase in the number of children born to a woman of reproductive age was associated with a 49% increased risk in neonatal deaths [aRR = 1.49, 95% CI: 1.30–1.69, p < 0.05]. Conclusion Neonatal mortality in Ghana remains relatively high, and the factors that predisposed children to neonatal death were birth size that were perceived to be small, low birth weight, higher parity, and multiple births. Improving pregnant women’s nutritional patterns and providing special support to women who have multiple deliveries will reduce neonatal mortality in Ghana.

scholarly journals Comparing regional neonatal mortality rates: the influence of registration of births as live born for birth weight <500 g in Taiwan

2019 ◽  
Vol 3 (1) ◽  
pp. e000526
Author(s):  
Liang-Yi Wang ◽  
Yu-Shan Chang ◽  
Fu-Wen Liang ◽  
Yung-Chieh Lin ◽  
Yuh-Jyh Lin ◽  
...  
Keyword(s):  
Birth Weight ◽  
Neonatal Mortality ◽  
Ecological Study ◽  
Population Based ◽  
Cross Sectional ◽  
Neonatal Deaths ◽  
Live Births ◽  
Taipei City ◽  
The Impact ◽  
The City

ObjectiveTo investigate regional variation in the registration of births (still+live) as live born for birth weight <500 g and the impact on the city/county ranking of neonatal mortality rate (NMR) in Taiwan.DesignPopulation-based cross-sectional ecological study.Setting20 cities/counties in Taiwan.ParticipantsRegistered births for birth weight <500 g and neonatal deaths in 2015–2016.Main outcome measuresCity/county percentage of births <500 g registered as live born and ranking of city/county NMR (deaths per 1000 live births) including and excluding live births <500 g.ResultsThe percentage of births <500 g registered as live born ranged from 0% in Keelung City (0/26) and Penghu County (0/4) to 20% in Taipei City (112/558), 24% in Hsinchu County (5/21) and 28% in Hualien County (9/32). The change in city/county ranking of NMR from including to excluding live births <500 g was most prominent in Taipei City (from the 15th to the 1st) followed by Kaohsiung City (from the 18th to the 14th).ConclusionsThe city/county NMR in Taiwan is influenced by variation in the registration of live born for births with uncertain viability. We recommend presenting city/county NMR using both criteria (with or without minimum threshold of gestation period or birth weight) for better interpretation of the findings of comparisons of city/county NMR.

Trends in inequalities in childhood stunting in Ethiopia from 2000 to 2016: a cross sectional study

2020 ◽  
Author(s):  
Betregiorgis Zegeye ◽  
Gebretsadik Shibre ◽  
Dina Idriss-Wheeler ◽  
Sanni Yaya
Keyword(s):  
Rural Areas ◽  
Economic Status ◽  
Statistical Significance ◽  
Population Attributable Risk ◽  
Cross Sectional Study ◽  
World Health ◽  
Demographic And Health Surveys ◽  
Uncertainty Interval ◽  
Cross Sectional ◽  
Agenda 2030

Abstract Background The decrease in the magnitude of stunting over the past 20 years has been slow in Ethiopia. To date, in Ethiopia, the trends in and extent of inequality in stunting have not been investigated using methods suitably developed for disparity studies. This paper investigated both the extent and overtime dynamics of stunting inequality in Ethiopia over the last 17 years. Methods Using the World Health Organization’s Health Equity Assessment Toolkit software, data from the Ethiopia Demographic and Health surveys (EDHS) were analyzed between 2000 and 2016. The inequality analysis consisted of disaggregated rates of stunting using five equity stratifiers (economic status, education, residence, region and sex) and four summary measures (Difference, Population Attributable risk, Ratio and Absolute Concentration Index). A 95% uncertainty interval was constructed around point estimates to measure statistical significance. Results The study showed that both absolute and relative inequalities in stunting exist in all the studied years in Ethiopia. The inequality disfavors children of mothers who are poor, uneducated and living in rural areas and specific regions such as Amhara. The pro-rich (R = 1.2; 1.1, 1.3 in 2000 to R = 1.7; 1.4, 2 in 2016) and pro-educated (R = 1.6; 95%UI = 1.3, 1.9 in 2000 and R = 2.3; 95%UI = 1.5, 3 in 2011) inequalities slightly increased with time. Male children bear a disproportionately higher burden of stunting, and the disparity increased between the first and the last time points (PAR = −1.5 95%UI = −2.5, −0.6 in 2000 and PAR = −2.9 95%UI = −3.9, −1.9) based on complex measures but remained constant with simple measures (R = 1; 95%UI = 0.9, 1.1 in 2000 and R = 1.1 95%UI = 1, 1.2 in 2016). Similarly, both the sub-national regional and residence-related stunting disparities generally widened over time according to some of the inequality measures. Conclusions Stunting appeared to be highly prevalent among certain sub-groups (i.e. poor, uneducated and living in rural regions). The subpopulations experiencing excessively high stunting prevalence should be the focus of policy makers’ attention as they work to achieve the WHO 40% reduction in stunting target by 2025 and the UN Agenda 2030 for Sustainable Development Goals.

scholarly journals Determinan Kematian Neonatal di RSUD Sultan Imanudin Pangkalan Bun

2018 ◽  
Vol 3 (2) ◽  
pp. 115-121
Author(s):  
Riyanti Riyanti ◽  
Legawati Legawati
Keyword(s):  
Neonatal Mortality ◽  
Neonatal Death ◽  
Healthcare Setting ◽  
Bivariate Analysis ◽  
Place Of Birth ◽  
Chi Square ◽  
Cross Sectional ◽  
Neonatal Deaths ◽  
The Status ◽  
Cross Sectional Design

Efforts to reduce neonatal mortality are done through various efforts in every healthcare setting. Neonatal deaths are caused by various factors, either directly or indirectly. This study aims to determine the cause of neonatal death. The approach used in this research is analytic observational and Cross-Sectional design. The population in this study is all neonatal deaths in RSUD Sultan Imanudin Pangkalan Bun. The sample of research is 103 people. Univariate analyzes were performed with frequency distribution, for bivariate analysis of factors Age of mother, education, occupation, parity, place of birth, the status of the referral, birth attendant and cause of death using chi-square (x2). The results showed that neonatal mortality occurred in the early neonate group 82 people (79.6%). Bivariate analysis showed that parity and cause factor (p = 0,001) showed significant influence on neonatal mortality. Conclusions of the study resulted in parity and direct or indirect causes of neonatal death.

scholarly journals Hospital delivery and neonatal mortality in 37 countries in sub-Saharan Africa and South Asia: An ecological study

PLoS Medicine ◽  
2021 ◽  
Vol 18 (12) ◽  
pp. e1003843
Author(s):  
Anna D. Gage ◽  
Günther Fink ◽  
John E. Ataguba ◽  
Margaret E. Kruk
Keyword(s):  
South Asia ◽  
Neonatal Mortality ◽  
Ecological Study ◽  
Maternal Education ◽  
Sub Saharan Africa ◽  
Demographic And Health Surveys ◽  
Cross Sectional ◽  
Hospital Delivery ◽  
Sub Saharan ◽  
Facility Births

Background Widespread increases in facility delivery have not substantially reduced neonatal mortality in sub-Saharan Africa and South Asia over the past 2 decades. This may be due to poor quality care available in widely used primary care clinics. In this study, we examine the association between hospital delivery and neonatal mortality. Methods and findings We used an ecological study design to assess cross-sectional associations between the share of hospital delivery and neonatal mortality across country regions. Data were from the Demographic and Health Surveys from 2009 to 2018, covering 682,239 births across all regions. We assess the association between the share of facility births in a region that occurred in hospitals (versus lower-level clinics) and early (0 to 7 days) neonatal mortality per 1,000 births, controlling for potential confounders including the share of facility births, small at birth, maternal age, maternal education, urbanicity, antenatal care visits, income, region, and survey year. We examined changes in this association in different contexts of country income, global region, and urbanicity using interaction models. Across the 1,143 regions from 37 countries in sub-Saharan Africa and South Asia, 42%, 29%, and 28% of births took place in a hospital, clinic, and at home, respectively. A 10-percentage point higher share of facility deliveries occurring in hospitals was associated with 1.2 per 1,000 fewer deaths (p-value < 0.01; 95% CI: 0.82 to 1.60), relative to mean mortality of 22. Associations were strongest in South Asian countries, middle-income countries, and urban regions. The study’s limitations include the inability to control for all confounding factors given the ecological and cross-sectional design and potential misclassification of facility levels in our data. Conclusions Regions with more hospital deliveries than clinic deliveries have reduced neonatal mortality. Increasing delivery in hospitals while improving quality across the health system may help to reduce high neonatal mortality.

Utility of transport risk index of physiological stability score for predicting likely outcome of extramural neonates transferred to NICU

2020 ◽  
Vol 7 (5) ◽  
pp. 1081
Author(s):  
Deepali M. Shah ◽  
Bhuvaneswari M. ◽  
Ramaprasad G. S.
Keyword(s):  
Neonatal Mortality ◽  
Risk Index ◽  
Tertiary Care ◽  
Area Under The Curve ◽  
Roc Curve Analysis ◽  
Chi Square ◽  
Cross Sectional ◽  
Exact Test ◽  
Early Neonatal Mortality ◽  
Significant Difference

Background: To accomplish ‘Mission Twenty - Twenty’ and to achieve ‘Sustainable Development Goal 3’, now we need to focus our attention more towards neonates being transported to higher centre in this very fragile period. We planned this study to assess demographic, transport and clinical characteristics of referred neonates and to determine whether TRIPS score serves as predictor of early neonatal mortality i.e. mortality within the first seven days after admission in these babies.Methods: This cross sectional descriptive study with analytic components was carried out in a tertiary care teaching hospital. All neonates ≥1 kg, born outside of this hospital, and referred here during study period for further management were included. All the data pertaining to clinical, demographic and transport characteristics were recorded. TRIPS score was applied at admission and was related with the final outcome within first seven days of admission; expired or survived. The association between the outcome and TRIPS score was tested using chi square test or fisher’s exact test. ROC curve analysis was done to find out optimum TRIPS score to predict mortality.Results: Neonatal mortality within first 7 days after admission is related to the TRIPS rating. The score of the survivors and neonatal deaths show a significant difference which is also even reflected by its individual components (p< 0.001). For a score of >18.5, a sensitivity of 89.47% and a specificity of 91.47%; area under the curve of 0.954 was determined.Conclusions: TRIPS score is a valid predictor of early neonatal mortality. The components of TRIPS score also correlate with early neonatal death. It is important to establish measures to improve physiological stability of the newborn before, during and after the transfer in order to reduce neonatal mortality.

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